package com.sky.controller.user;

import com.sky.constant.StatusConstant;
import com.sky.entity.Dish;
import com.sky.result.Result;
import com.sky.service.DishService;
import com.sky.vo.DishVO;
import io.swagger.annotations.Api;
import io.swagger.annotations.ApiOperation;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang.text.StrTokenizer;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

import javax.xml.crypto.dsig.keyinfo.RetrievalMethod;
import java.util.List;

@RestController("userDishController")
@RequestMapping("/user/dish")
@Slf4j
@Api(tags = "C端-菜品浏览接口")
public class DishController {
    @Autowired
    private DishService dishService;
    @Autowired
    private RedisTemplate redisTemplate;

    /**
     * 根据分类id查询菜品
     *
     * @param categoryId
     * @return
     */
    @GetMapping("/list")
    @ApiOperation("根据分类id查询菜品")
    public Result<List<DishVO>> list(Long categoryId) {

        //使用redis缓存数据,减轻数据库的压力
        //1. 先构建redis中的key值  使用dish_分类id进行
        String key = "dish_" + categoryId;

        //2. 查询redis中是否有这个id的菜品数据,如果存在直接返回
        List<DishVO> lish = (List<DishVO>) redisTemplate.opsForValue().get(key);
        if(lish != null && lish.size()>0){
            return Result.success(lish);
        }

        Dish dish = new Dish();
        dish.setCategoryId(categoryId);
        dish.setStatus(StatusConstant.ENABLE);//查询起售中的菜品

        List<DishVO> list = dishService.listWithFlavor(dish);
        //3. 如果不存在,查询Mysql中的数据,之后再缓存到redis中
        redisTemplate.opsForValue().set(key,list);

        return Result.success(list);
    }
}
